IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v115y2008i2p388-399.html
   My bibliography  Save this article

Design of a decision support system to evaluate logistics distribution network in Greater Mekong Subregion Countries

Author

Listed:
  • Kengpol, Athakorn

Abstract

The objective of this research is to present an approach to guide Greater Mekong Subregion (GMS) countries in order to minimise the total transportation costs with maximum satisfaction in distributing goods between the distribution centre (DC) and the customer, the so-called logistics distribution network. The decision support system (DSS) model is the combination of a number of models beginning with the analytic hierarchy process (AHP) model to achieve priorities from customers and the DC operator's viewpoint on the alternatives (logistics distribution network), followed by the Mixed Integer Linear Programming (MILP) which integrates priorities from both sides to achieve maximum satisfaction. After that the multi-commodity transportation model is employed to calculate the optimum number of products transported to customers, which yields minimum transportation costs. The recommendations, limitations and further research are also presented.

Suggested Citation

  • Kengpol, Athakorn, 2008. "Design of a decision support system to evaluate logistics distribution network in Greater Mekong Subregion Countries," International Journal of Production Economics, Elsevier, vol. 115(2), pages 388-399, October.
    • Handle: RePEc:eee:proeco:v:115:y:2008:i:2:p:388-399
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(08)00195-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ghodsypour, S. H. & O'Brien, C., 1998. "A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming," International Journal of Production Economics, Elsevier, vol. 56(1), pages 199-212, September.
    2. Korpela, Jukka & Tuominen, Markku, 1996. "A decision aid in warehouse site selection," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 169-180, August.
    3. Pandey, P. C. & Kengpol, Athakorn, 1995. "Selection of an automated inspection system using multiattribute decision analysis," International Journal of Production Economics, Elsevier, vol. 39(3), pages 289-298, May.
    4. Kengpol, Athakorn, 2004. "Design of a decision support system to evaluate the investment in a new distribution centre," International Journal of Production Economics, Elsevier, vol. 90(1), pages 59-70, July.
    5. Yurimoto, Shigeru & Masui, Tadayuki, 1995. "Design of a decision support system for overseas plant location in the EC," International Journal of Production Economics, Elsevier, vol. 41(1-3), pages 411-418, October.
    6. Kengpol, Athakorn & Tuominen, Markku, 2006. "A framework for group decision support systems: An application in the evaluation of information technology for logistics firms," International Journal of Production Economics, Elsevier, vol. 101(1), pages 159-171, May.
    7. Kengpol, Athakorn & O'Brien, Christopher, 2001. "The development of a decision support tool for the selection of advanced technology to achieve rapid product development," International Journal of Production Economics, Elsevier, vol. 69(2), pages 177-191, January.
    8. Korpela, Jukka & Lehmusvaara, Antti, 1999. "A customer oriented approach to warehouse network evaluation and design," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 135-146, March.
    9. Jung, Ho-Won & Choi, Byoungju, 1999. "Optimization models for quality and cost of modular software systems," European Journal of Operational Research, Elsevier, vol. 112(3), pages 613-619, February.
    10. Baunack, Bettina & Mercer, Alan & Napp, Anna, 1995. "Sales effects of depot locations," European Journal of Operational Research, Elsevier, vol. 81(3), pages 474-478, March.
    11. Korpela, Jukka & Kylaheiko, Kalevi & Lehmusvaara, Antti & Tuominen, Markku, 2002. "An analytic approach to production capacity allocation and supply chain design," International Journal of Production Economics, Elsevier, vol. 78(2), pages 187-195, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Manzini, Riccardo, 2012. "A top-down approach and a decision support system for the design and management of logistic networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1185-1204.
    2. Kengpol, Athakorn & Meethom, Warapoj & Tuominen, Markku, 2012. "The development of a decision support system in multimodal transportation routing within Greater Mekong sub-region countries," International Journal of Production Economics, Elsevier, vol. 140(2), pages 691-701.
    3. Ho, William & Ma, Xin, 2018. "The state-of-the-art integrations and applications of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 267(2), pages 399-414.
    4. Yang, Zong-Xiao & Zheng, Yan-Yi & Xue, Jin-Xue, 2009. "Development of automatic fault tree synthesis system using decision matrix," International Journal of Production Economics, Elsevier, vol. 121(1), pages 49-56, September.
    5. Ebubekir Karabacak & Hüseyin Ali Kutlu, 2024. "Evaluating the Efficiencies of Logistics Centers with Fuzzy Logic: The Case of Turkey," Sustainability, MDPI, vol. 16(1), pages 1-25, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    2. Kengpol, Athakorn & Tuominen, Markku, 2006. "A framework for group decision support systems: An application in the evaluation of information technology for logistics firms," International Journal of Production Economics, Elsevier, vol. 101(1), pages 159-171, May.
    3. Kengpol, Athakorn, 2004. "Design of a decision support system to evaluate the investment in a new distribution centre," International Journal of Production Economics, Elsevier, vol. 90(1), pages 59-70, July.
    4. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    5. Kayakutlu, Gulgun & Buyukozkan, Gulcin, 2011. "Assessing performance factors for a 3PL in a value chain," International Journal of Production Economics, Elsevier, vol. 131(2), pages 441-452, June.
    6. Erol, Ismail & Ferrell, W.G.William Jr., 2004. "A methodology to support decision making across the supply chain of an industrial distributor," International Journal of Production Economics, Elsevier, vol. 89(2), pages 119-129, May.
    7. Kengpol, Athakorn & Meethom, Warapoj & Tuominen, Markku, 2012. "The development of a decision support system in multimodal transportation routing within Greater Mekong sub-region countries," International Journal of Production Economics, Elsevier, vol. 140(2), pages 691-701.
    8. Yurdakul, Mustafa & Ic, Yusuf Tansel, 2004. "AHP approach in the credit evaluation of the manufacturing firms in Turkey," International Journal of Production Economics, Elsevier, vol. 88(3), pages 269-289, April.
    9. Kengpol, Athakorn & O'Brien, Christopher, 2001. "The development of a decision support tool for the selection of advanced technology to achieve rapid product development," International Journal of Production Economics, Elsevier, vol. 69(2), pages 177-191, January.
    10. Lin, Hung-Tso & Chang, Wen-Ling, 2008. "Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation," European Journal of Operational Research, Elsevier, vol. 187(2), pages 415-428, June.
    11. Karanik, Marcelo & Wanderer, Leonardo & Gomez-Ruiz, Jose Antonio & Pelaez, Jose Ignacio, 2016. "Reconstruction methods for AHP pairwise matrices: How reliable are they?," Applied Mathematics and Computation, Elsevier, vol. 279(C), pages 103-124.
    12. Korpela, Jukka & Lehmusvaara, Antti, 1999. "A customer oriented approach to warehouse network evaluation and design," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 135-146, March.
    13. Pokharel, Shaligram, 2008. "A two objective model for decision making in a supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 378-388, February.
    14. Scott, James & Ho, William & Dey, Prasanta K. & Talluri, Srinivas, 2015. "A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 226-237.
    15. Ventura, José A. & Bunn, Kevin A. & Venegas, Bárbara B. & Duan, Lisha, 2021. "A coordination mechanism for supplier selection and order quantity allocation with price-sensitive demand and finite production rates," International Journal of Production Economics, Elsevier, vol. 233(C).
    16. David Opresnik & Maurizio Fiasché & Marco Taisch & Manuel Hirsch, 0. "An evolving fuzzy inference system for extraction of rule set for planning a product–service strategy," Information Technology and Management, Springer, vol. 0, pages 1-17.
    17. Huang, Samuel H. & Keskar, Harshal, 2007. "Comprehensive and configurable metrics for supplier selection," International Journal of Production Economics, Elsevier, vol. 105(2), pages 510-523, February.
    18. Sebastjan ŠKERLIČ & Robert MUHA, 2016. "Identifying Warehouse Location Using Hierarchical Clustering," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 11(3), pages 121-129, September.
    19. Ali Salmasnia & Hamid Daliri & Ali Ghorbanian & Hadi Mokhtari, 2018. "A statistical analysis and simulation based approach to an uncertain supplier selection problem with discount option," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(6), pages 1250-1259, December.
    20. Al-Husain, Raed & Khorramshahgol, Reza, 2020. "Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains," Operations Research Perspectives, Elsevier, vol. 7(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:115:y:2008:i:2:p:388-399. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.